Evidence map›Paper›PMID 35394513›Full record

ArticleJAMA network open2022

Assessment of Mortality Disparities by Wealth Relative to Other Measures of Socioeconomic Status Among US Adults.

Dana A Glei, Chioun Lee, Maxine Weinstein

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. For reducing premature adult mortality in India, education matters more than income.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  4. Inequalities in the burden of disease due to dementia, including Alzheimer disease, in British Columbia, Canada, from 2001 to 2022.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2025
    Article
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  9. Wealth and health: the neglected economic determinant.The Lancet regional health. Europe · 2025
    Article
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  15. Article
  16. Article
  17. Income, wealth, and Black-White disparities in cognition.Social science & medicine (1982) · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dana A GleiCenter for Population and Health, Georgetown University, Washington, DC.
Chioun LeeDepartment of Sociology, University of California, Riverside.
Maxine WeinsteinCenter for Population and Health, Georgetown University, Washington, DC.

Funding

U19 MIDlife in the United States-Diversity Supplement-WellsU19AG051426 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI CAROL D. RYFF · 2016 to 2026
$74.8M
STATISTICS COREP01AG020166 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI RYFF, CAROL D. · 2002 to 2015
$50.6M
Gender Differences in Early Life Adversity: Adult Obesity and Cardiovascular RiskR00AG052458 · NIA · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI LEE, CHIOUN · 2018 to 2020
$713k
NIA NIH HHS P01 AG020166NIA NIH HHS R00 AG052458NIA NIH HHS U19 AG051426
6 · The paper itself

Abstract

Importance: The association between wealth and mortality is likely to be nonlinear and may result from selection and reverse causality. Objective: To compare the magnitude of mortality disparities by wealth relative to other measures of socioeconomic status (SES). Design, Setting, and Participants: This population-based cohort study began in 1995 to 1996, with approximately 18 years of mortality follow-up. These analyses were completed in November 2021. Data were derived from a population-based sample that targeted noninstitutionalized, English-speaking adults aged 25 to 74 years in the contiguous US. The response rate for the telephone interview ranged from 60% (twin subsample) to 70% (main sample). A self-administered questionnaire was completed by 89% of those interviewed by telephone. Exposures: Net assets of the respondent and spouse or partner in 1995 to 1996. Main Outcomes and Measures: All-cause mortality. Results: Among 6320 respondents (mean [SD] age at baseline, 46.9 [12.9] years; 3318 women [52.5%]), 1000 (15.8%) died by May 31, 2013. Adjusted for age, sex, and race, the mortality disparity by wealth was larger than the disparities by education, occupation, income, or childhood SES, especially at the oldest ages. After age 65 years, the hazard ratio [HR] was 2.69 (95% CI, 2.00-3.62) for those with no assets relative to those with at least $300 000 of wealth (in 1995 dollars), which translated into a 31 percentage point differential in estimated probability of surviving from age 65 years to 85 years (40% vs 71%). Additional wealth greater than $500 000 was not associated with lower mortality. In fully adjusted models, there was still a sizeable wealth disparity in mortality after age 65 years (HR, 1.89; 95% CI, 1.33-2.67). After adjustment for confounders, the estimated probability of surviving from age 65 to 85 years was 19 percentage points higher for persons with at least $300 000 in wealth (70%) than for those with no assets (51%), but there was a much larger 37 percentage point differential between never smokers (70%) and current smokers (33%). Conclusions and Relevance: In this cohort study, the fully adjusted disparity in mortality associated with wealth beyond age 65 years remained sizeable but was much smaller than the smoking differential.

Indexed as

IncomeSocial ClassAdultChildCohort StudiesFemaleHumansSmokersSmoking

Identifiers

PMID35394513
PMCPMC8994125

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.